Expert Panel: Developing an AI/ML Strategy for Simulation and Design Optimization at GM and Siemens Energy

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In today’s rapidly evolving technological landscape, it is imperative to leverage the power of Artificial Intelligence (AI) and Machine Learning (ML) for product design and development to gain a competitive edge. By utilizing AI/ML, businesses can revolutionize their product development process, enabling them to identify optimal designs faster, assess their pros and cons, and generate novel designs that surpass their competitors.

This panel discussion will outline strategic approaches for integrating AI/ML into CAE, with a focus on real-life experiences and insights from industry experts. Topics include CAE simulations, virtual animation data, and product design iterations and optimization.

Two renowned experts, Astrid Walle from Siemens Energy and Simon Xu from General Motors will share their experiences and insights on how to leverage machine learning. The panel discussion will be facilitated by AI/ML technical specialist Justin Hodges from Siemens Digital Industries Software.

Join us to hear from these experts, who built a career in conventional engineering simulation, and all decided to fully invest in machine learning to enhance the product development process and provide their businesses with a competitive edge.

Developing an AI/ML Strategy for Simulation and Design Optimization at GM and Siemens Energy

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Presenter: Simon Xu, General Motors

Simon is a Tech Fellow for Vehicle Optimization and ML at General Motors’ Engineering Design and Virtual Integration organization. He chairs the GM global optimization focus group and is responsible for innovations of optimization/ML tools in vehicle and electrified propulsion system development.  Through his team’s effort and influence, GM’s virtual vehicle development has been continuously improved by the implementation of new tools and processes to meet the new challenges in CO2, EV architectures, advanced battery design and electric drive technologies.

Presenter: Astrid Walle, Siemens Energy

Astrid is a mechanical engineer with a PhD in CFD and more than a decade of experience in applied fluid mechanics. She has held several positions in gas turbine R&D and AI development at Siemens Energy, Vattenfall and Rolls Royce. Following her professional determination to bring AI and Data Science into engineering she ran her own business and worked as a Product Manager in a software startup before she rejoined Siemens Energy to establish the usage of data from the very beginning in product development.

Presenter: Justin Hodges, Siemens Digital Industries Software

Justin is a senior AI/ML technical specialist at Siemens Digital Industries Software. He helps customers solve relevant problems which add value to their business and delivered products. Justin earned his Ph.D. in Mechanical Engineering at the University of Central Florida in thermofluids. He has a passion for AI and ML. His doctoral research was on film cooling flow fields, predicting turbulence and thermal fields with advanced turbulence modeling and machine learning approaches.

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